{"id":"W3047425187","doi":"10.1093/noajnl/vdaa073.048","title":"60. IDEAL TREATMENT REGIMEN FOR PATIENTS WITH ≥1 BRAIN METASTASIS FROM PRIMARY NON-SMALL-CELL LUNG CANCER – A SYSTEMATIC REVIEW AND NETWORK META-ANALYSIS","year":2020,"lang":"en","type":"review","venue":"Neuro-Oncology Advances","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Meta-analysis; Lung cancer; Oncology; Randomized controlled trial; Brain metastasis; non-small cell lung cancer (NSCLC); Regimen; Cancer; Metastasis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001846849,0.0009145385,0.01298968,0.0001662699,0.0001859855,0.00003016018,0.0001959429,0.0002024972,0.00008494531],"category_scores_gemma":[0.00009536534,0.0005041331,0.00199664,0.0006702446,0.00008492814,0.0001192728,0.00006643693,0.0002442853,0.000006206687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827288,"about_ca_system_score_gemma":0.001020258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007916235,"about_ca_topic_score_gemma":0.0002444425,"domain_scores_codex":[0.9962474,0.0005825156,0.001228249,0.001206218,0.0002797434,0.0004558453],"domain_scores_gemma":[0.9947956,0.00241142,0.001654327,0.0006574314,0.0001883575,0.0002928582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0001080539,0.0004435867,0.0001516789,0.5757875,0.3816395,0.0001495758,0.0001421299,0.00002646583,1.172863e-7,0.000005040742,0.00239308,0.03915326],"study_design_scores_gemma":[0.001222284,0.001055384,0.000007080568,0.00972667,0.5978297,0.00000781265,0.000006782143,0.000005556244,1.538053e-7,0.000004073361,0.3899049,0.0002295813],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003330305,0.980741,0.0002848548,0.001221591,0.0001423711,0.01562448,0.001746241,0.00005067683,0.0001854483],"genre_scores_gemma":[0.000003510177,0.9698621,0.004670938,0.003841276,0.0001509633,0.01859903,0.002370284,0.0001020933,0.0003997869],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5660608,"threshold_uncertainty_score":0.999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903867881018443,"score_gpt":0.3757098417951911,"score_spread":0.3366711629850067,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}